THE ADVANCED METHOD OF PROTECTION OF PERSONAL DATA FROM ATTACKS USING SOCIAL ENGINEERING ALGORITHMS

Serhii Laptiev
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引用次数: 1

Abstract

Social interaction of subjects in the modern world, in addition to positive forms, also has negative ones. In modern society it is impossible to do without social networks and in the modern world the Internet - technologies prevail. Currently, everyone connected to a computer is registered in at least one social network. Social networks attract people, because in today's world all people communicate, exchange information, and get acquainted, some people come up with a virtual world in which they can be fearless, and popular and thus abandon reality. The problem related to the security of personal data in social networks is the most relevant and interesting in modern society. Analysis of methods of protection of personal data from attacks using social engineering algorithms showed that it is impossible to prefer any one method of protection of personal information. All methods of personal data protection purposefully affect the protection of information, but protection in full can not be provided by only one method. Based on the analysis of methods of personal data protection, we have proposed an improved method of protecting personal data from attacks using social engineering algorithms. Improvement is a combination of two existing methods aimed at improving the effectiveness of user training. Using the features of the proposed method formulated by us, it is the increase of user training that will provide better protection of personal data. The main advantage of the proposed method is that it uses the synergy of existing methods, which are aimed at educating users and learning to protect their personal information. The direction of further research: analysis and improvement of methods of attacks not only with the help of phishing social engineering but also with the help of other methods of social engineering of other types. Creating a mathematical model to protect personal information from attacks using social engineering methods.
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使用社会工程算法保护个人数据免受攻击的先进方法
现代社会主体的社会互动除了积极的形式外,也有消极的形式。在现代社会中,没有社交网络是不可能的,在现代世界中,互联网技术盛行。目前,每个连上电脑的人都至少在一个社交网络上注册过。社交网络之所以吸引人,是因为在当今世界,所有的人都在交流,交换信息,互相认识,一些人想出了一个虚拟的世界,在这个世界里,他们可以无所畏惧,可以受欢迎,从而放弃现实。与社交网络中的个人数据安全相关的问题是现代社会中最相关和最有趣的问题。对使用社会工程算法保护个人数据免受攻击的方法的分析表明,不可能选择任何一种保护个人信息的方法。所有的个人资料保护方法都有目的性地影响信息的保护,但只有一种方法无法提供充分的保护。在分析个人数据保护方法的基础上,我们提出了一种利用社会工程算法保护个人数据免受攻击的改进方法。改进是两种现有方法的结合,目的是提高用户培训的有效性。利用我们制定的建议方法的特点,增加用户培训将更好地保护个人数据。该方法的主要优点是利用现有方法的协同作用,旨在教育用户并学习保护他们的个人信息。进一步研究的方向:不仅要借助网络钓鱼社会工程,还要借助其他类型社会工程的其他方法对攻击方法进行分析和改进。创建一个数学模型,以保护个人信息免受使用社会工程方法的攻击。
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